This Job is based in AustraliaEmployment Type: Full Time; 35 hours per weekDuration: Fixed Term until 31 December 2028Remuneration: Academic Level B $133,065 - $156,864 per annum (based on experience) + 17% Super + Annual Leave LoadingLocation: Sydney, Recent South Wales, AustraliaPosition SummaryThe Research Fellow will join the Centre for Big Data Research in Health to undertake innovative research focused on improving the prevention and management of adverse events in hospitalised patients through advanced data science and artificial intelligence. Reporting to the Technical Lead of CardiacAI, the role will contribute to the development, validation and evaluation of predictive algorithms, clinical decision-support tools, and data visualisations that enhance patient care and clinical decision-making.Working collaboratively within a multidisciplinary research team, the Research Fellow will design and conduct high-quality research using large-scale healthcare datasets, applying statistical, machine learning and natural language processing methods to address clinically relevant questions. The role will contribute to research publications, grant applications, ethics submissions and conference presentations, while supporting research students and fostering collaborative research initiatives. The Research Fellow will also promote reproducible research practices and contribute to the Centre's ongoing research excellence. The role has no direct reports.Some Key Skills RequiredA PhD in data science, biostatistics, computer science, health informatics or a closely related field.Demonstrated track record in research with outcomes of high quality and high impact with clear evidence of desire and ability to achieve research excellence as well as the capacity for research leadership.Strong understanding of theory and methods relating to the design of research studies using largescale observational health and medical data and methods for the analysis of these data.Demonstrated experience in the management and analysis of large complex health datasets and the analysis of these data using advanced machine learning and natural language processing techniques.Demonstrated experience in developing software applications to implement machine learning and natural language processing techniques.Demonstrated ability to maintain the strictest confidentiality when dealing with sensitive data and an understanding of ethical principles relating to privacy and confidentiality.Highly developed data analysis skills and experience in the use of several statistical packages and programming languages.Demonstrated ability to conceptualise novel research questions in areas relevant to health services or clinical research using real-world data and to develop these into research outputs.Please refer to the position description for full details.Benefits And CultureUNSW offer a competitive salary and access to a plethora of UNSW-perks including:Career development opportunities17% Superannuation contributions and additional leave loading payments10 days paid cultural leave per yearAdditional 3 days of leave over Christmas periodDiscounts and entitlements (retail, education, fitness)Pre-Employment ChecksAs part of our recruitment process candidates may be required to undergo pre-employment screening, which may include reference checks, qualification verification, right-to-work verification, and criminal history screening where relevant to the role.UNSW is committed to equity diversity and inclusion. Applications from women, people of culturally and linguistically diverse backgrounds, those living with disabilities, members of the LGBTIQ+ community; and people of Aboriginal and Torres Strait Islander descent, are encouraged. UNSW provides workplace adjustments for people with disability, and access to flexible work options for eligible staff. The University reserves the right not to proceed with any appointment. #J-18808-Ljbffr

📌 Research Fellow- Centre For Big Data Research In Health (Toronto)
🏢 UNSW
📍 Toronto